SQL Why might removing movies with offensive titles using SQL alone be easier said than done? How, for instance, might the TV station end up removing movies that might actually be suitable for all audiences? Please give a detailed explanation.
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Why might removing movies with offensive titles using SQL alone be easier said than done? How, for instance, might the TV station end up removing movies that might actually be suitable for all audiences? Please give a detailed explanation.
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- This doesn't answer the question I asked. This is for a different section. I got a solution for this question but it answered a different section. Could I please have a My SQL eer diagram that sets up the following queries. All books that are checked out are due back in two weeks, with no exceptions. The late fee is 50 cents per day. The librarian would like to have a query that generates an overdue book list each day so she can telephone the miscreants. The library would like a query to search for a book by its title and see if it is currently checked out. Sometimes members can’t remember the full name of the book so the query needs to be able to search by a part of the title. The library would like a query that can show them the Top 10 most popular books checked out over a particular date range. The library would like to know the most popular day of the week for library members to visit the library and check out books. The library would like to know which book categories are the most…I need help with the SQL query for the following question: 1. Get a list of 10 product reviews that got review rating 5 and price more than thousand. Here is the information on the field names: The table name is: Reviews Review Form Fields Product/ModelName: Product/Category: Product/Price: Retailer/Name: Retailer/ZipCode: Retailer/City: Retailer/State: Product/On Sale: Manufacturer/Name: Manufacturer/Rebate: Review/UserId: Review/Rating: Review/Date: Review/Text: Example of Review Form Filled out ProductModelName: Galaxy S4 ProductCategory: Smart Phone ProductPrice: 499 RetailerName: Bestbuy RetailerZipCode: 44114 RetailerCity: Cleveland RetailerState: OH ProductOnSale: No ManufacturerName: Samsung ManufacturerRebate: No ReviewUserId: xmm473 ReviewRating: 3 ReviewDate: 6/10/2012 ReviewText: overheats after 2 hoursI need help with the SQL query for the following question: 1. Get the total number of reviews of most liked product per retailer in every city. Here is the information on the field names: The table name is: Reviews Review Form Fields Product/ModelName: Product/Category: Product/Price: Retailer/Name: Retailer/ZipCode: Retailer/City: Retailer/State: Product/On Sale: Manufacturer/Name: Manufacturer/Rebate: Review/UserId: Review/Rating: Review/Date: Review/Text: Example of Review Form Filled out ProductModelName: Galaxy S4 ProductCategory: Smart Phone ProductPrice: 499 RetailerName: Bestbuy RetailerZipCode: 44114 RetailerCity: Cleveland RetailerState: OH ProductOnSale: No ManufacturerName: Samsung ManufacturerRebate: No ReviewUserId: xmm473 ReviewRating: 3 ReviewDate: 6/10/2012 ReviewText: overheats after 2 hours
- I need help with the SQL query for the following question: 1. Get a list of 5 reviews for shoppers in Chicago Here is the information on the field names: The table name is: Reviews Review Form Fields Product/ModelName: Product/Category: Product/Price: Retailer/Name: Retailer/ZipCode: Retailer/City: Retailer/State: Product/On Sale: Manufacturer/Name: Manufacturer/Rebate: Review/UserId: Review/Rating: Review/Date: Review/Text: Example of Review Form Filled out ProductModelName: Galaxy S4 ProductCategory: Smart Phone ProductPrice: 499 RetailerName: Bestbuy RetailerZipCode: 44114 RetailerCity: Cleveland RetailerState: OH ProductOnSale: No ManufacturerName: Samsung ManufacturerRebate: No ReviewUserId: xmm473 ReviewRating: 3 ReviewDate: 6/10/2012 ReviewText: overheats after 2 hoursHow does the SQL ORDER BY clause work, and why might it be important when using database functions like MAX() or MIN()? Provide a query illustrating its usage.I need help with the SQL query for the following question: 1. Get show the total number of customers who complained about heat issues for every product name of every manufacturer. Here is the information on the field names: The table name is: Reviews Review Form Fields Product/ModelName: Product/Category: Product/Price: Retailer/Name: Retailer/ZipCode: Retailer/City: Retailer/State: Product/On Sale: Manufacturer/Name: Manufacturer/Rebate: Review/UserId: Review/Rating: Review/Date: Review/Text: Example of Review Form Filled out ProductModelName: Galaxy S4 ProductCategory: Smart Phone ProductPrice: 499 RetailerName: Bestbuy RetailerZipCode: 44114 RetailerCity: Cleveland RetailerState: OH ProductOnSale: No ManufacturerName: Samsung ManufacturerRebate: No ReviewUserId: xmm473 ReviewRating: 3 ReviewDate: 6/10/2012 ReviewText: overheats after 2 hours
- I need help with the SQL query for the following question: 1. Get the top 5 list of liked products for every city Here is the information on the field names: The table name is: Reviews Review Form Fields Product/ModelName: Product/Category: Product/Price: Retailer/Name: Retailer/ZipCode: Retailer/City: Retailer/State: Product/On Sale: Manufacturer/Name: Manufacturer/Rebate: Review/UserId: Review/Rating: Review/Date: Review/Text: Example of Review Form Filled out ProductModelName: Galaxy S4 ProductCategory: Smart Phone ProductPrice: 499 RetailerName: Bestbuy RetailerZipCode: 44114 RetailerCity: Cleveland RetailerState: OH ProductOnSale: No ManufacturerName: Samsung ManufacturerRebate: No ReviewUserId: xmm473 ReviewRating: 3 ReviewDate: 6/10/2012 ReviewText: overheats after 2 hoursoracle SQL Consider the following schema: Publisher (name, phone, city), PK: name. Book (ISBN, title, year, published_by, previous_edition, price), PK: ISBN, FK: published_by refs Publisher, previous_edition refs Book. Author (SSN, first_name, last_name, address, income), PK: SSN. Write (aSSN, bISBN), PK: (aSSN, bISBN), FK: aSSN refs Author, bISBN refs Book. Editor (SSN, first_name, last_name, address, salary, works_for, book_count), PK: SSN, FK: works_for refs Publisher. Edit (eSSN, bISBN), PK: (eSSN, bISBN), FK: eSSN refs Editor, bISBN refs Book. Author_Editor (aeSSN, hours), PK: aeSSN, FK: aeSSN refs Author, aeSSN refs Editor. Please be advised that answers such as SELECT title from Book WHERE ISBN IN (SELECT aSSN from Write WHERE COUNT(aSSN)>3) will work as the question refers to books that have more than 3 authors, meaning 3 or more authors worked on the same book. so not aSSN so it would need to be something like bISN>3 Give the title of those books that have more than 3…Given the Bank database that contains the following tables (primary keys are underlined and foreign keys are preceded with #): Agency(agencyNumber, agencyName, city, assets) Client (clientNumber, firstName, lastName, clientCity) Account(accountNumber, #agencyNumber, #clientNumber, balance) Loan(loanNumber, #agencyNumber, #clientNumber, amount ) Without using DISTINCT, write the SQL query equivalent to the following one SELECT DISTINCT clientNumber FROM Account WHERE balance < 1000 OR balance > 100000 ;
- I need help with the SQL query for the following question: 1. Get a list of the number of products reviewed for every retailer Here is the information on the field names: The table name is: Reviews Review Form Fields Product/ModelName: Product/Category: Product/Price: Retailer/Name: Retailer/ZipCode: Retailer/City: Retailer/State: Product/On Sale: Manufacturer/Name: Manufacturer/Rebate: Review/UserId: Review/Rating: Review/Date: Review/Text: Example of Review Form Filled out ProductModelName: Galaxy S4 ProductCategory: Smart Phone ProductPrice: 499 RetailerName: Bestbuy RetailerZipCode: 44114 RetailerCity: Cleveland RetailerState: OH ProductOnSale: No ManufacturerName: Samsung ManufacturerRebate: No ReviewUserId: xmm473 ReviewRating: 3 ReviewDate: 6/10/2012 ReviewText: overheats after 2 hoursI need help with the SQL query for the following question: 1. Show the total number of reviews of most liked product per retailer in every city Here is the information on the field names: The table name is: Reviews Review Form Fields Product/ModelName: Product/Category: Product/Price: Retailer/Name: Retailer/ZipCode: Retailer/City: Retailer/State: Product/On Sale: Manufacturer/Name: Manufacturer/Rebate: Review/UserId: Review/Rating: Review/Date: Review/Text: Example of Review Form Filled out ProductModelName: Galaxy S4 ProductCategory: Smart Phone ProductPrice: 499 RetailerName: Bestbuy RetailerZipCode: 44114 RetailerCity: Cleveland RetailerState: OH ProductOnSale: No ManufacturerName: Samsung ManufacturerRebate: No ReviewUserId: xmm473 ReviewRating: 3 ReviewDate: 6/10/2012 ReviewText: overheats after 2 hoursI need help with the SQL query for the following question: 1. How many reviews for every product? Here is the information on the field names: The table name is: Reviews Review Form Fields Product/ModelName: Product/Category: Product/Price: Retailer/Name: Retailer/ZipCode: Retailer/City: Retailer/State: Product/On Sale: Manufacturer/Name: Manufacturer/Rebate: Review/UserId: Review/Rating: Review/Date: Review/Text: Example of Review Form Filled out ProductModelName: Galaxy S4 ProductCategory: Smart Phone ProductPrice: 499 RetailerName: Bestbuy RetailerZipCode: 44114 RetailerCity: Cleveland RetailerState: OH ProductOnSale: No ManufacturerName: Samsung ManufacturerRebate: No ReviewUserId: xmm473 ReviewRating: 3 ReviewDate: 6/10/2012 ReviewText: overheats after 2 hours